#!/usr/bin/bash



#feats=/home/gaoxinglong/env/tools/speech_tools/kaldi/egs/librispeech/us48_s5/exp/tri5b_ali_train_2kshort85/ali2pdfs/chunk_feats_labels/final_feats_scps.list

feats=/home/gaoxinglong/env/tools/speech_tools/kaldi/egs/librispeech/us48_s5/exp/tri5b_ali_180w-score8585/ali2pdfs/chunk_feats_labels/final_feats_scps.list
labels=/home/gaoxinglong/env/tools/speech_tools/kaldi/egs/librispeech/us48_s5/exp/tri5b_ali_train_2kshort85/ali2pdfs/chunk_feats_labels/final_labels_scps.list
#labels=/home/gaoxinglong/env/tools/speech_tools/kaldi/egs/librispeech/us48_s5/exp/tri5b_ali_180w-score8585//ali2pdfs/chunk_feats_labels/final_labels_scps.list
batch_size=64
lr=0.0002
python train-state-on-frames.py --feats_scp_list=$feats --labels_scp_list=$labels --batch_size=$batch_size --output_num=6600 --learning_rate=$lr

echo 'training done.'
